A new mathematical model for determining optimal workforce planning of pilots in an airline company

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Akyurt I. Z., KUVVETLİ Y., Deveci M., Garg H., Yuzsever M.

COMPLEX & INTELLIGENT SYSTEMS, vol.8, pp.429-441, 2022 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 8
  • Publication Date: 2022
  • Doi Number: 10.1007/s40747-021-00386-x
  • Journal Name: COMPLEX & INTELLIGENT SYSTEMS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), INSPEC
  • Page Numbers: pp.429-441
  • Keywords: Airline workforce planning, Mathematical modeling, Pilots, Aircraft types, Mixed integer programming, CAPACITY, OPTIMIZATION
  • Open Archive Collection: AVESIS Open Access Collection
  • Çukurova University Affiliated: Yes

Abstract

This study aims to model a workforce-planning problem of pilot roles which include captain and first officer in an airline company and to make an efficient plan having maximal utilization of minimum workforce requirements. To tackle this problem, a mixed integer programming based a new mathematical model is proposed. The model considers different conditions such as employing pilots with different skill types, resignations, retirements, holidays of pilots, transitions between different skills regarding needs of the demands during the planning horizon. The application of the proposed approach is investigated using a case study with real-world data from an airline company in Turkey. The results show that a company can use transitions instead of new employment and this is a more suitable medium-term production and human resource planning decision.